learn.ipynb

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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [   
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from random import random\n",
      "\n",
      "from IPython.display import SVG\n",
      "import pygal\n",
      "\n",
      "from pybrain.structure import SigmoidLayer\n",
      "from pybrain.tools.shortcuts import buildNetwork\n",
      "from pybrain.supervised.trainers import BackpropTrainer\n",
      "from pybrain.datasets import ClassificationDataSet\n",
      "from pybrain.utilities import percentError\n",
      "\n",
      "from utils import get_matches, get_team_stats, extract_samples, normalize, split_samples, graph_teams_stat_bars, graph_matches_results_scatter\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Configs\n",
      "-------"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# the features I will feed to the classifier as input data.\n",
      "input_features = ['year',\n",
      "                  'matches_won_percent',\n",
      "                  'podium_score_yearly',\n",
      "                  'matches_won_percent_2',\n",
      "                  'podium_score_yearly_2',]\n",
      "\n",
      "# the feature giving the result the classifier must learn to predict (I recommend allways using 'winner')\n",
      "output_feature = 'winner'\n",
      "\n",
      "# used to avoid including tied matches in the learning process. I found this greatly improves the classifier accuracy.\n",
      "# I know there will be some ties, but I'm willing to fail on those and have better accuracy with all the rest.\n",
      "# at this point, this code will break if you set it to False, because the network uses a sigmoid function with a \n",
      "# threeshold for output, so it is able to distinquish only 2 kinds of results.\n",
      "exclude_ties = True\n",
      "\n",
      "# used to duplicate matches data, reversing the teams (team1->team2, and viceversa). \n",
      "# This helps on visualizations, and also improves precission of the predictions avoiding a dependence on the\n",
      "# order of the teams from the input.\n",
      "duplicate_with_reversed = True"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def show(graph):\n",
      "    '''Small utility to display pygal graphs'''\n",
      "    return SVG(graph.render())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Team stats\n",
      "----------\n",
      "\n",
      "First we need the teams stats. We can't feed the classifier inputs like ('Argentina', 'Brazil'), we need to give it numbers. And not any numbers, not just ids, but numbers that could be somewhat related to the result of the matches.\n",
      "\n",
      "For example: the percentage of won matches of each team is something that could have an impact in the result, so that stat is a very good candidate.\n",
      "\n",
      "We just calculate a lots of stats per team, and after we will decide which ones to use."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "team_stats = get_team_stats()\n",
      "team_stats"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>matches_played</th>\n",
        "      <th>matches_won</th>\n",
        "      <th>years_played</th>\n",
        "      <th>podium_score</th>\n",
        "      <th>cups_won</th>\n",
        "      <th>matches_won_percent</th>\n",
        "      <th>podium_score_yearly</th>\n",
        "      <th>cups_won_yearly</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>team</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Brazil</th>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Canada</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Serbia and Montenegro</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Kuwait</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Scotland</th>\n",
        "      <td> 23</td>\n",
        "      <td>  4</td>\n",
        "      <td>  8</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 17.391304</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Costa Rica</th>\n",
        "      <td> 10</td>\n",
        "      <td>  3</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 30.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Ivory Coast</th>\n",
        "      <td>  6</td>\n",
        "      <td>  2</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 33.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Wales</th>\n",
        "      <td>  5</td>\n",
        "      <td>  1</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 20.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Argentina</th>\n",
        "      <td> 64</td>\n",
        "      <td> 33</td>\n",
        "      <td> 13</td>\n",
        "      <td>  40</td>\n",
        "      <td> 2</td>\n",
        "      <td> 51.562500</td>\n",
        "      <td> 3.076923</td>\n",
        "      <td> 0.153846</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bolivia</th>\n",
        "      <td>  4</td>\n",
        "      <td>  0</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Cameroon</th>\n",
        "      <td> 20</td>\n",
        "      <td>  4</td>\n",
        "      <td>  6</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 20.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Ecuador</th>\n",
        "      <td>  7</td>\n",
        "      <td>  3</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 42.857143</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Ghana</th>\n",
        "      <td>  9</td>\n",
        "      <td>  4</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 44.444444</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Saudi Arabia</th>\n",
        "      <td> 13</td>\n",
        "      <td>  2</td>\n",
        "      <td>  4</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 15.384615</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Australia</th>\n",
        "      <td> 10</td>\n",
        "      <td>  2</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 20.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Iran</th>\n",
        "      <td>  9</td>\n",
        "      <td>  1</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 11.111111</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Algeria</th>\n",
        "      <td>  9</td>\n",
        "      <td>  2</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 22.222222</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>El Salvador</th>\n",
        "      <td>  6</td>\n",
        "      <td>  0</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Republic of Ireland</th>\n",
        "      <td> 13</td>\n",
        "      <td>  2</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 15.384615</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Slovenia</th>\n",
        "      <td>  6</td>\n",
        "      <td>  1</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 16.666667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chile</th>\n",
        "      <td> 26</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 26.923077</td>\n",
        "      <td> 0.571429</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Belgium</th>\n",
        "      <td> 32</td>\n",
        "      <td> 10</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 31.250000</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Haiti</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Iraq</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Spain</th>\n",
        "      <td> 53</td>\n",
        "      <td> 27</td>\n",
        "      <td> 12</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 50.943396</td>\n",
        "      <td> 1.500000</td>\n",
        "      <td> 0.083333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>China PR</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Netherlands</th>\n",
        "      <td> 41</td>\n",
        "      <td> 22</td>\n",
        "      <td>  7</td>\n",
        "      <td>  26</td>\n",
        "      <td> 0</td>\n",
        "      <td> 53.658537</td>\n",
        "      <td> 3.714286</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Denmark</th>\n",
        "      <td> 16</td>\n",
        "      <td>  8</td>\n",
        "      <td>  4</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 50.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Poland</th>\n",
        "      <td> 30</td>\n",
        "      <td> 15</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 50.000000</td>\n",
        "      <td> 1.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Morocco</th>\n",
        "      <td> 13</td>\n",
        "      <td>  2</td>\n",
        "      <td>  4</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 15.384615</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Croatia</th>\n",
        "      <td> 13</td>\n",
        "      <td>  6</td>\n",
        "      <td>  3</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 46.153846</td>\n",
        "      <td> 1.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Switzerland</th>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 29.166667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Honduras</th>\n",
        "      <td>  6</td>\n",
        "      <td>  0</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>New Zealand</th>\n",
        "      <td>  6</td>\n",
        "      <td>  0</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jamaica</th>\n",
        "      <td>  3</td>\n",
        "      <td>  1</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 33.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>England</th>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 44.067797</td>\n",
        "      <td> 1.384615</td>\n",
        "      <td> 0.076923</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Uruguay</th>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>United Arab Emirates</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Africa</th>\n",
        "      <td>  9</td>\n",
        "      <td>  2</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 22.222222</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Egypt</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Colombia</th>\n",
        "      <td> 13</td>\n",
        "      <td>  3</td>\n",
        "      <td>  4</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 23.076923</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Korea</th>\n",
        "      <td> 28</td>\n",
        "      <td>  5</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 17.857143</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Turkey</th>\n",
        "      <td> 10</td>\n",
        "      <td>  5</td>\n",
        "      <td>  2</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 50.000000</td>\n",
        "      <td> 2.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Italy</th>\n",
        "      <td> 71</td>\n",
        "      <td> 36</td>\n",
        "      <td> 15</td>\n",
        "      <td>  54</td>\n",
        "      <td> 2</td>\n",
        "      <td> 50.704225</td>\n",
        "      <td> 3.600000</td>\n",
        "      <td> 0.133333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Czech Republic</th>\n",
        "      <td>  3</td>\n",
        "      <td>  1</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 33.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>France</th>\n",
        "      <td> 48</td>\n",
        "      <td> 23</td>\n",
        "      <td> 10</td>\n",
        "      <td>  34</td>\n",
        "      <td> 1</td>\n",
        "      <td> 47.916667</td>\n",
        "      <td> 3.400000</td>\n",
        "      <td> 0.100000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Slovakia</th>\n",
        "      <td>  4</td>\n",
        "      <td>  1</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 25.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Peru</th>\n",
        "      <td> 13</td>\n",
        "      <td>  4</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 30.769231</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Norway</th>\n",
        "      <td>  7</td>\n",
        "      <td>  2</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 28.571429</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Nigeria</th>\n",
        "      <td> 14</td>\n",
        "      <td>  4</td>\n",
        "      <td>  4</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 28.571429</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Israel</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Zaire</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Czechoslovakia</th>\n",
        "      <td> 23</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 30.434783</td>\n",
        "      <td> 1.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Austria</th>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 40.000000</td>\n",
        "      <td> 0.666667</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Togo</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Germany</th>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td> 60.204082</td>\n",
        "      <td> 6.266667</td>\n",
        "      <td> 0.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Ukraine</th>\n",
        "      <td>  5</td>\n",
        "      <td>  2</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 40.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Northern Ireland</th>\n",
        "      <td> 13</td>\n",
        "      <td>  3</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 23.076923</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>United States</th>\n",
        "      <td> 25</td>\n",
        "      <td>  5</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 20.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Trinidad and Tobago</th>\n",
        "      <td>  3</td>\n",
        "      <td>  0</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>76 rows \u00d7 8 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "                       matches_played  matches_won  years_played  \\\n",
        "team                                                               \n",
        "Brazil                             89           63            16   \n",
        "Canada                              3            0             1   \n",
        "Serbia and Montenegro               3            0             1   \n",
        "Kuwait                              3            0             1   \n",
        "Scotland                           23            4             8   \n",
        "Costa Rica                         10            3             3   \n",
        "Ivory Coast                         6            2             2   \n",
        "Wales                               5            1             1   \n",
        "Argentina                          64           33            13   \n",
        "Bolivia                             4            0             2   \n",
        "Cameroon                           20            4             6   \n",
        "Ecuador                             7            3             2   \n",
        "Ghana                               9            4             2   \n",
        "Saudi Arabia                       13            2             4   \n",
        "Australia                          10            2             3   \n",
        "Iran                                9            1             3   \n",
        "Algeria                             9            2             3   \n",
        "El Salvador                         6            0             2   \n",
        "Republic of Ireland                13            2             3   \n",
        "Slovenia                            6            1             2   \n",
        "Chile                              26            7             7   \n",
        "Belgium                            32           10             8   \n",
        "Haiti                               3            0             1   \n",
        "Iraq                                3            0             1   \n",
        "Spain                              53           27            12   \n",
        "China PR                            3            0             1   \n",
        "Netherlands                        41           22             7   \n",
        "Denmark                            16            8             4   \n",
        "Poland                             30           15             6   \n",
        "Morocco                            13            2             4   \n",
        "Croatia                            13            6             3   \n",
        "Switzerland                        24            7             7   \n",
        "Honduras                            6            0             2   \n",
        "New Zealand                         6            0             2   \n",
        "Jamaica                             3            1             1   \n",
        "England                            59           26            13   \n",
        "Uruguay                            43           14            10   \n",
        "United Arab Emirates                3            0             1   \n",
        "South Africa                        9            2             3   \n",
        "Egypt                               3            0             1   \n",
        "Colombia                           13            3             4   \n",
        "South Korea                        28            5             8   \n",
        "Turkey                             10            5             2   \n",
        "Italy                              71           36            15   \n",
        "Czech Republic                      3            1             1   \n",
        "France                             48           23            10   \n",
        "Slovakia                            4            1             1   \n",
        "Peru                               13            4             3   \n",
        "Norway                              7            2             2   \n",
        "Nigeria                            14            4             4   \n",
        "Israel                              3            0             1   \n",
        "Zaire                               3            0             1   \n",
        "Czechoslovakia                     23            7             6   \n",
        "Austria                            25           10             6   \n",
        "Togo                                3            0             1   \n",
        "Germany                            98           59            15   \n",
        "Ukraine                             5            2             1   \n",
        "Northern Ireland                   13            3             3   \n",
        "United States                      25            5             7   \n",
        "Trinidad and Tobago                 3            0             1   \n",
        "                                  ...          ...           ...   \n",
        "\n",
        "                       podium_score  cups_won  matches_won_percent  \\\n",
        "team                                                                 \n",
        "Brazil                          102         5            70.786517   \n",
        "Canada                            0         0             0.000000   \n",
        "Serbia and Montenegro             0         0             0.000000   \n",
        "Kuwait                            0         0             0.000000   \n",
        "Scotland                          0         0            17.391304   \n",
        "Costa Rica                        0         0            30.000000   \n",
        "Ivory Coast                       0         0            33.333333   \n",
        "Wales                             0         0            20.000000   \n",
        "Argentina                        40         2            51.562500   \n",
        "Bolivia                           0         0             0.000000   \n",
        "Cameroon                          0         0            20.000000   \n",
        "Ecuador                           0         0            42.857143   \n",
        "Ghana                             0         0            44.444444   \n",
        "Saudi Arabia                      0         0            15.384615   \n",
        "Australia                         0         0            20.000000   \n",
        "Iran                              0         0            11.111111   \n",
        "Algeria                           0         0            22.222222   \n",
        "El Salvador                       0         0             0.000000   \n",
        "Republic of Ireland               0         0            15.384615   \n",
        "Slovenia                          0         0            16.666667   \n",
        "Chile                             4         0            26.923077   \n",
        "Belgium                           2         0            31.250000   \n",
        "Haiti                             0         0             0.000000   \n",
        "Iraq                              0         0             0.000000   \n",
        "Spain                            18         1            50.943396   \n",
        "China PR                          0         0             0.000000   \n",
        "Netherlands                      26         0            53.658537   \n",
        "Denmark                           0         0            50.000000   \n",
        "Poland                            8         0            50.000000   \n",
        "Morocco                           0         0            15.384615   \n",
        "Croatia                           4         0            46.153846   \n",
        "Switzerland                       0         0            29.166667   \n",
        "Honduras                          0         0             0.000000   \n",
        "New Zealand                       0         0             0.000000   \n",
        "Jamaica                           0         0            33.333333   \n",
        "England                          18         1            44.067797   \n",
        "Uruguay                          22         1            32.558140   \n",
        "United Arab Emirates              0         0             0.000000   \n",
        "South Africa                      0         0            22.222222   \n",
        "Egypt                             0         0             0.000000   \n",
        "Colombia                          0         0            23.076923   \n",
        "South Korea                       2         0            17.857143   \n",
        "Turkey                            4         0            50.000000   \n",
        "Italy                            54         2            50.704225   \n",
        "Czech Republic                    0         0            33.333333   \n",
        "France                           34         1            47.916667   \n",
        "Slovakia                          0         0            25.000000   \n",
        "Peru                              0         0            30.769231   \n",
        "Norway                            0         0            28.571429   \n",
        "Nigeria                           0         0            28.571429   \n",
        "Israel                            0         0             0.000000   \n",
        "Zaire                             0         0             0.000000   \n",
        "Czechoslovakia                    8         0            30.434783   \n",
        "Austria                           4         0            40.000000   \n",
        "Togo                              0         0             0.000000   \n",
        "Germany                          94         3            60.204082   \n",
        "Ukraine                           0         0            40.000000   \n",
        "Northern Ireland                  0         0            23.076923   \n",
        "United States                     0         0            20.000000   \n",
        "Trinidad and Tobago               0         0             0.000000   \n",
        "                                ...       ...                  ...   \n",
        "\n",
        "                       podium_score_yearly  cups_won_yearly  \n",
        "team                                                         \n",
        "Brazil                            6.375000         0.312500  \n",
        "Canada                            0.000000         0.000000  \n",
        "Serbia and Montenegro             0.000000         0.000000  \n",
        "Kuwait                            0.000000         0.000000  \n",
        "Scotland                          0.000000         0.000000  \n",
        "Costa Rica                        0.000000         0.000000  \n",
        "Ivory Coast                       0.000000         0.000000  \n",
        "Wales                             0.000000         0.000000  \n",
        "Argentina                         3.076923         0.153846  \n",
        "Bolivia                           0.000000         0.000000  \n",
        "Cameroon                          0.000000         0.000000  \n",
        "Ecuador                           0.000000         0.000000  \n",
        "Ghana                             0.000000         0.000000  \n",
        "Saudi Arabia                      0.000000         0.000000  \n",
        "Australia                         0.000000         0.000000  \n",
        "Iran                              0.000000         0.000000  \n",
        "Algeria                           0.000000         0.000000  \n",
        "El Salvador                       0.000000         0.000000  \n",
        "Republic of Ireland               0.000000         0.000000  \n",
        "Slovenia                          0.000000         0.000000  \n",
        "Chile                             0.571429         0.000000  \n",
        "Belgium                           0.250000         0.000000  \n",
        "Haiti                             0.000000         0.000000  \n",
        "Iraq                              0.000000         0.000000  \n",
        "Spain                             1.500000         0.083333  \n",
        "China PR                          0.000000         0.000000  \n",
        "Netherlands                       3.714286         0.000000  \n",
        "Denmark                           0.000000         0.000000  \n",
        "Poland                            1.333333         0.000000  \n",
        "Morocco                           0.000000         0.000000  \n",
        "Croatia                           1.333333         0.000000  \n",
        "Switzerland                       0.000000         0.000000  \n",
        "Honduras                          0.000000         0.000000  \n",
        "New Zealand                       0.000000         0.000000  \n",
        "Jamaica                           0.000000         0.000000  \n",
        "England                           1.384615         0.076923  \n",
        "Uruguay                           2.200000         0.100000  \n",
        "United Arab Emirates              0.000000         0.000000  \n",
        "South Africa                      0.000000         0.000000  \n",
        "Egypt                             0.000000         0.000000  \n",
        "Colombia                          0.000000         0.000000  \n",
        "South Korea                       0.250000         0.000000  \n",
        "Turkey                            2.000000         0.000000  \n",
        "Italy                             3.600000         0.133333  \n",
        "Czech Republic                    0.000000         0.000000  \n",
        "France                            3.400000         0.100000  \n",
        "Slovakia                          0.000000         0.000000  \n",
        "Peru                              0.000000         0.000000  \n",
        "Norway                            0.000000         0.000000  \n",
        "Nigeria                           0.000000         0.000000  \n",
        "Israel                            0.000000         0.000000  \n",
        "Zaire                             0.000000         0.000000  \n",
        "Czechoslovakia                    1.333333         0.000000  \n",
        "Austria                           0.666667         0.000000  \n",
        "Togo                              0.000000         0.000000  \n",
        "Germany                           6.266667         0.200000  \n",
        "Ukraine                           0.000000         0.000000  \n",
        "Northern Ireland                  0.000000         0.000000  \n",
        "United States                     0.000000         0.000000  \n",
        "Trinidad and Tobago               0.000000         0.000000  \n",
        "                                       ...              ...  \n",
        "\n",
        "[76 rows x 8 columns]"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lets visualize some of those stats, just because it helps paint a bigger picture on how good the teams are.\n",
      "\n",
      "(you can hoover with your mouse on the '...' from the x axys to see the team name)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "show(graph_teams_stat_bars(team_stats, 'matches_won_percent'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
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       ],
       "text": [
        "<IPython.core.display.SVG at 0x7ff465db82d0>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Pudium score is an invented measure on how good the teams are by looking at the 4 first teams from each cup. The first team receives 8 points, the second 4, the third 2, and the fourth 1. All the rest receive 0 points. As you can see, the scoring is exponential, because each position implies an exponentially bigger amount of matches won than the next one."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "show(graph_teams_stat_bars(team_stats, 'podium_score_yearly'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
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       ],
       "text": [
        "<IPython.core.display.SVG at 0x7ff4601a2450>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Matches\n",
      "-------\n",
      "\n",
      "Now we need to get the matches data, including the \"reversed\" duplication of matches, and adding the team stats in each match."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "matches = get_matches(with_team_stats=True,\n",
      "                      duplicate_with_reversed=duplicate_with_reversed,\n",
      "                      exclude_ties=exclude_ties)\n",
      "        \n",
      "matches"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>score1</th>\n",
        "      <th>score2</th>\n",
        "      <th>team1</th>\n",
        "      <th>team2</th>\n",
        "      <th>year</th>\n",
        "      <th>score_diff</th>\n",
        "      <th>winner</th>\n",
        "      <th>matches_played</th>\n",
        "      <th>matches_won</th>\n",
        "      <th>years_played</th>\n",
        "      <th>podium_score</th>\n",
        "      <th>cups_won</th>\n",
        "      <th>matches_won_percent</th>\n",
        "      <th>podium_score_yearly</th>\n",
        "      <th>cups_won_yearly</th>\n",
        "      <th>matches_played_2</th>\n",
        "      <th>matches_won_2</th>\n",
        "      <th>years_played_2</th>\n",
        "      <th>podium_score_2</th>\n",
        "      <th>cups_won_2</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td> 4</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td>       Yugoslavia</td>\n",
        "      <td>      Switzerland</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 34</td>\n",
        "      <td> 14</td>\n",
        "      <td>  8</td>\n",
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        "      <td> 0</td>\n",
        "      <td> 41.176471</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td>       Yugoslavia</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 34</td>\n",
        "      <td> 14</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 41.176471</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>       Yugoslavia</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 34</td>\n",
        "      <td> 14</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td>      Switzerland</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 29.166667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>          England</td>\n",
        "      <td>            Chile</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 44.067797</td>\n",
        "      <td> 1.384615</td>\n",
        "      <td> 0.076923</td>\n",
        "      <td> 26</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td>            Spain</td>\n",
        "      <td>    United States</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 53</td>\n",
        "      <td> 27</td>\n",
        "      <td> 12</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 50.943396</td>\n",
        "      <td> 1.500000</td>\n",
        "      <td> 0.083333</td>\n",
        "      <td> 25</td>\n",
        "      <td>  5</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>            Spain</td>\n",
        "      <td>            Chile</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 53</td>\n",
        "      <td> 27</td>\n",
        "      <td> 12</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 50.943396</td>\n",
        "      <td> 1.500000</td>\n",
        "      <td> 0.083333</td>\n",
        "      <td> 26</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td>    United States</td>\n",
        "      <td>          England</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 25</td>\n",
        "      <td>  5</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 20.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td>            Spain</td>\n",
        "      <td>          England</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 53</td>\n",
        "      <td> 27</td>\n",
        "      <td> 12</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 50.943396</td>\n",
        "      <td> 1.500000</td>\n",
        "      <td> 0.083333</td>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td> 5</td>\n",
        "      <td> 2</td>\n",
        "      <td>            Chile</td>\n",
        "      <td>    United States</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 26</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 26.923077</td>\n",
        "      <td> 0.571429</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 25</td>\n",
        "      <td>  5</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td>           Sweden</td>\n",
        "      <td>            Italy</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 41</td>\n",
        "      <td> 14</td>\n",
        "      <td>  9</td>\n",
        "      <td>  16</td>\n",
        "      <td> 0</td>\n",
        "      <td> 34.146341</td>\n",
        "      <td> 1.777778</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 71</td>\n",
        "      <td> 36</td>\n",
        "      <td> 15</td>\n",
        "      <td>  54</td>\n",
        "      <td> 2</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>            Italy</td>\n",
        "      <td>         Paraguay</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 71</td>\n",
        "      <td> 36</td>\n",
        "      <td> 15</td>\n",
        "      <td>  54</td>\n",
        "      <td> 2</td>\n",
        "      <td> 50.704225</td>\n",
        "      <td> 3.600000</td>\n",
        "      <td> 0.133333</td>\n",
        "      <td> 25</td>\n",
        "      <td>  6</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td> 8</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>          Bolivia</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 8</td>\n",
        "      <td> 1</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td>  4</td>\n",
        "      <td>  0</td>\n",
        "      <td>  2</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td> 7</td>\n",
        "      <td> 1</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>           Sweden</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 6</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 41</td>\n",
        "      <td> 14</td>\n",
        "      <td>  9</td>\n",
        "      <td>  16</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td> 6</td>\n",
        "      <td> 1</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>            Spain</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 53</td>\n",
        "      <td> 27</td>\n",
        "      <td> 12</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>           Sweden</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 41</td>\n",
        "      <td> 14</td>\n",
        "      <td>  9</td>\n",
        "      <td>  16</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td>           Sweden</td>\n",
        "      <td>            Spain</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 41</td>\n",
        "      <td> 14</td>\n",
        "      <td>  9</td>\n",
        "      <td>  16</td>\n",
        "      <td> 0</td>\n",
        "      <td> 34.146341</td>\n",
        "      <td> 1.777778</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 53</td>\n",
        "      <td> 27</td>\n",
        "      <td> 12</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td> 1950</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22</th>\n",
        "      <td> 5</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td>       Yugoslavia</td>\n",
        "      <td>           France</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 34</td>\n",
        "      <td> 14</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 41.176471</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 48</td>\n",
        "      <td> 23</td>\n",
        "      <td> 10</td>\n",
        "      <td>  34</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25</th>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td>           France</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 48</td>\n",
        "      <td> 23</td>\n",
        "      <td> 10</td>\n",
        "      <td>  34</td>\n",
        "      <td> 1</td>\n",
        "      <td> 47.916667</td>\n",
        "      <td> 3.400000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26</th>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td>          Germany</td>\n",
        "      <td>           Turkey</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td> 60.204082</td>\n",
        "      <td> 6.266667</td>\n",
        "      <td> 0.200000</td>\n",
        "      <td> 10</td>\n",
        "      <td>  5</td>\n",
        "      <td>  2</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27</th>\n",
        "      <td> 9</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td>      South Korea</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 9</td>\n",
        "      <td> 1</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 42.307692</td>\n",
        "      <td> 1.142857</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 28</td>\n",
        "      <td>  5</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28</th>\n",
        "      <td> 8</td>\n",
        "      <td> 3</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td>          Germany</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 42.307692</td>\n",
        "      <td> 1.142857</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29</th>\n",
        "      <td> 7</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Turkey</td>\n",
        "      <td>      South Korea</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1</td>\n",
        "      <td> 10</td>\n",
        "      <td>  5</td>\n",
        "      <td>  2</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 50.000000</td>\n",
        "      <td> 2.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 28</td>\n",
        "      <td>  5</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30</th>\n",
        "      <td> 7</td>\n",
        "      <td> 2</td>\n",
        "      <td>          Germany</td>\n",
        "      <td>           Turkey</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td> 60.204082</td>\n",
        "      <td> 6.266667</td>\n",
        "      <td> 0.200000</td>\n",
        "      <td> 10</td>\n",
        "      <td>  5</td>\n",
        "      <td>  2</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>   Czechoslovakia</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>32</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Austria</td>\n",
        "      <td>         Scotland</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 40.000000</td>\n",
        "      <td> 0.666667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  4</td>\n",
        "      <td>  8</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33</th>\n",
        "      <td> 7</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>         Scotland</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 7</td>\n",
        "      <td> 1</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  4</td>\n",
        "      <td>  8</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>34</th>\n",
        "      <td> 5</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Austria</td>\n",
        "      <td>   Czechoslovakia</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 40.000000</td>\n",
        "      <td> 0.666667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td>      Switzerland</td>\n",
        "      <td>            Italy</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 29.166667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 71</td>\n",
        "      <td> 36</td>\n",
        "      <td> 15</td>\n",
        "      <td>  54</td>\n",
        "      <td> 2</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37</th>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td>            Italy</td>\n",
        "      <td>          Belgium</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 71</td>\n",
        "      <td> 36</td>\n",
        "      <td> 15</td>\n",
        "      <td>  54</td>\n",
        "      <td> 2</td>\n",
        "      <td> 50.704225</td>\n",
        "      <td> 3.600000</td>\n",
        "      <td> 0.133333</td>\n",
        "      <td> 32</td>\n",
        "      <td> 10</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>38</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>          England</td>\n",
        "      <td>      Switzerland</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td> 44.067797</td>\n",
        "      <td> 1.384615</td>\n",
        "      <td> 0.076923</td>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>39</th>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td>      Switzerland</td>\n",
        "      <td>            Italy</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 29.166667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 71</td>\n",
        "      <td> 36</td>\n",
        "      <td> 15</td>\n",
        "      <td>  54</td>\n",
        "      <td> 2</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40</th>\n",
        "      <td> 7</td>\n",
        "      <td> 5</td>\n",
        "      <td>          Austria</td>\n",
        "      <td>      Switzerland</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td> 40.000000</td>\n",
        "      <td> 0.666667</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 24</td>\n",
        "      <td>  7</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>41</th>\n",
        "      <td> 4</td>\n",
        "      <td> 2</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>          England</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>42</th>\n",
        "      <td> 2</td>\n",
        "      <td> 4</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td> 1954</td>\n",
        "      <td>-2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>43</th>\n",
        "      <td> 0</td>\n",
        "      <td> 2</td>\n",
        "      <td>       Yugoslavia</td>\n",
        "      <td>          Germany</td>\n",
        "      <td> 1954</td>\n",
        "      <td>-2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 34</td>\n",
        "      <td> 14</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 41.176471</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>44</th>\n",
        "      <td> 4</td>\n",
        "      <td> 2</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 42.307692</td>\n",
        "      <td> 1.142857</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45</th>\n",
        "      <td> 6</td>\n",
        "      <td> 1</td>\n",
        "      <td>          Germany</td>\n",
        "      <td>          Austria</td>\n",
        "      <td> 1954</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td> 60.204082</td>\n",
        "      <td> 6.266667</td>\n",
        "      <td> 0.200000</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>46</th>\n",
        "      <td> 1</td>\n",
        "      <td> 3</td>\n",
        "      <td>          Uruguay</td>\n",
        "      <td>          Austria</td>\n",
        "      <td> 1954</td>\n",
        "      <td>-2</td>\n",
        "      <td> 2</td>\n",
        "      <td> 43</td>\n",
        "      <td> 14</td>\n",
        "      <td> 10</td>\n",
        "      <td>  22</td>\n",
        "      <td> 1</td>\n",
        "      <td> 32.558140</td>\n",
        "      <td> 2.200000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>47</th>\n",
        "      <td> 2</td>\n",
        "      <td> 3</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td>          Germany</td>\n",
        "      <td> 1954</td>\n",
        "      <td>-1</td>\n",
        "      <td> 2</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 42.307692</td>\n",
        "      <td> 1.142857</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>48</th>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td>          Germany</td>\n",
        "      <td>        Argentina</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 98</td>\n",
        "      <td> 59</td>\n",
        "      <td> 15</td>\n",
        "      <td>  94</td>\n",
        "      <td> 3</td>\n",
        "      <td> 60.204082</td>\n",
        "      <td> 6.266667</td>\n",
        "      <td> 0.200000</td>\n",
        "      <td> 64</td>\n",
        "      <td> 33</td>\n",
        "      <td> 13</td>\n",
        "      <td>  40</td>\n",
        "      <td> 2</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>49</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td> Northern Ireland</td>\n",
        "      <td>   Czechoslovakia</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 13</td>\n",
        "      <td>  3</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 23.076923</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50</th>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td>        Argentina</td>\n",
        "      <td> Northern Ireland</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 64</td>\n",
        "      <td> 33</td>\n",
        "      <td> 13</td>\n",
        "      <td>  40</td>\n",
        "      <td> 2</td>\n",
        "      <td> 51.562500</td>\n",
        "      <td> 3.076923</td>\n",
        "      <td> 0.153846</td>\n",
        "      <td> 13</td>\n",
        "      <td>  3</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>53</th>\n",
        "      <td> 6</td>\n",
        "      <td> 1</td>\n",
        "      <td>   Czechoslovakia</td>\n",
        "      <td>        Argentina</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1</td>\n",
        "      <td> 23</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 30.434783</td>\n",
        "      <td> 1.333333</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 64</td>\n",
        "      <td> 33</td>\n",
        "      <td> 13</td>\n",
        "      <td>  40</td>\n",
        "      <td> 2</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>54</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> Northern Ireland</td>\n",
        "      <td>   Czechoslovakia</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 13</td>\n",
        "      <td>  3</td>\n",
        "      <td>  3</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 23.076923</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  7</td>\n",
        "      <td>  6</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55</th>\n",
        "      <td> 7</td>\n",
        "      <td> 3</td>\n",
        "      <td>           France</td>\n",
        "      <td>         Paraguay</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td> 48</td>\n",
        "      <td> 23</td>\n",
        "      <td> 10</td>\n",
        "      <td>  34</td>\n",
        "      <td> 1</td>\n",
        "      <td> 47.916667</td>\n",
        "      <td> 3.400000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 25</td>\n",
        "      <td>  6</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>57</th>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td>       Yugoslavia</td>\n",
        "      <td>           France</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 34</td>\n",
        "      <td> 14</td>\n",
        "      <td>  8</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 41.176471</td>\n",
        "      <td> 0.250000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 48</td>\n",
        "      <td> 23</td>\n",
        "      <td> 10</td>\n",
        "      <td>  34</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>58</th>\n",
        "      <td> 3</td>\n",
        "      <td> 2</td>\n",
        "      <td>         Paraguay</td>\n",
        "      <td>         Scotland</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 25</td>\n",
        "      <td>  6</td>\n",
        "      <td>  7</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 24.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  4</td>\n",
        "      <td>  8</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>59</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td>           France</td>\n",
        "      <td>         Scotland</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 48</td>\n",
        "      <td> 23</td>\n",
        "      <td> 10</td>\n",
        "      <td>  34</td>\n",
        "      <td> 1</td>\n",
        "      <td> 47.916667</td>\n",
        "      <td> 3.400000</td>\n",
        "      <td> 0.100000</td>\n",
        "      <td> 23</td>\n",
        "      <td>  4</td>\n",
        "      <td>  8</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>61</th>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Sweden</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 41</td>\n",
        "      <td> 14</td>\n",
        "      <td>  9</td>\n",
        "      <td>  16</td>\n",
        "      <td> 0</td>\n",
        "      <td> 34.146341</td>\n",
        "      <td> 1.777778</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>64</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td>           Sweden</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 41</td>\n",
        "      <td> 14</td>\n",
        "      <td>  9</td>\n",
        "      <td>  16</td>\n",
        "      <td> 0</td>\n",
        "      <td> 34.146341</td>\n",
        "      <td> 1.777778</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>66</th>\n",
        "      <td> 4</td>\n",
        "      <td> 0</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td>           Mexico</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 4</td>\n",
        "      <td> 1</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td> 42.307692</td>\n",
        "      <td> 1.142857</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 46</td>\n",
        "      <td> 12</td>\n",
        "      <td> 13</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>67</th>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td>            Wales</td>\n",
        "      <td>          Hungary</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td>  5</td>\n",
        "      <td>  1</td>\n",
        "      <td>  1</td>\n",
        "      <td>   0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 20.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 26</td>\n",
        "      <td> 11</td>\n",
        "      <td>  7</td>\n",
        "      <td>   8</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>68</th>\n",
        "      <td> 3</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>          Austria</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 3</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>71</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Russia</td>\n",
        "      <td>          Austria</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 37</td>\n",
        "      <td> 17</td>\n",
        "      <td>  9</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 45.945946</td>\n",
        "      <td> 0.222222</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 25</td>\n",
        "      <td> 10</td>\n",
        "      <td>  6</td>\n",
        "      <td>   4</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>73</th>\n",
        "      <td> 2</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Brazil</td>\n",
        "      <td>           Russia</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 2</td>\n",
        "      <td> 1</td>\n",
        "      <td> 89</td>\n",
        "      <td> 63</td>\n",
        "      <td> 16</td>\n",
        "      <td> 102</td>\n",
        "      <td> 5</td>\n",
        "      <td> 70.786517</td>\n",
        "      <td> 6.375000</td>\n",
        "      <td> 0.312500</td>\n",
        "      <td> 37</td>\n",
        "      <td> 17</td>\n",
        "      <td>  9</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>74</th>\n",
        "      <td> 1</td>\n",
        "      <td> 0</td>\n",
        "      <td>           Russia</td>\n",
        "      <td>          England</td>\n",
        "      <td> 1958</td>\n",
        "      <td> 1</td>\n",
        "      <td> 1</td>\n",
        "      <td> 37</td>\n",
        "      <td> 17</td>\n",
        "      <td>  9</td>\n",
        "      <td>   2</td>\n",
        "      <td> 0</td>\n",
        "      <td> 45.945946</td>\n",
        "      <td> 0.222222</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 59</td>\n",
        "      <td> 26</td>\n",
        "      <td> 13</td>\n",
        "      <td>  18</td>\n",
        "      <td> 1</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>1100 rows \u00d7 23 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "    score1  score2             team1             team2  year  score_diff  \\\n",
        "0        4       0            Brazil            Mexico  1950           4   \n",
        "1        3       0        Yugoslavia       Switzerland  1950           3   \n",
        "3        4       1        Yugoslavia            Mexico  1950           3   \n",
        "4        2       0            Brazil        Yugoslavia  1950           2   \n",
        "5        2       1       Switzerland            Mexico  1950           1   \n",
        "6        2       0           England             Chile  1950           2   \n",
        "7        3       1             Spain     United States  1950           2   \n",
        "8        2       0             Spain             Chile  1950           2   \n",
        "9        1       0     United States           England  1950           1   \n",
        "10       1       0             Spain           England  1950           1   \n",
        "11       5       2             Chile     United States  1950           3   \n",
        "12       3       2            Sweden             Italy  1950           1   \n",
        "14       2       0             Italy          Paraguay  1950           2   \n",
        "15       8       0           Uruguay           Bolivia  1950           8   \n",
        "17       7       1            Brazil            Sweden  1950           6   \n",
        "18       6       1            Brazil             Spain  1950           5   \n",
        "19       3       2           Uruguay            Sweden  1950           1   \n",
        "20       3       1            Sweden             Spain  1950           2   \n",
        "21       2       1           Uruguay            Brazil  1950           1   \n",
        "22       5       0            Brazil            Mexico  1954           5   \n",
        "23       1       0        Yugoslavia            France  1954           1   \n",
        "25       3       2            France            Mexico  1954           1   \n",
        "26       4       1           Germany            Turkey  1954           3   \n",
        "27       9       0           Hungary       South Korea  1954           9   \n",
        "28       8       3           Hungary           Germany  1954           5   \n",
        "29       7       0            Turkey       South Korea  1954           7   \n",
        "30       7       2           Germany            Turkey  1954           5   \n",
        "31       2       0           Uruguay    Czechoslovakia  1954           2   \n",
        "32       1       0           Austria          Scotland  1954           1   \n",
        "33       7       0           Uruguay          Scotland  1954           7   \n",
        "34       5       0           Austria    Czechoslovakia  1954           5   \n",
        "35       2       1       Switzerland             Italy  1954           1   \n",
        "37       4       1             Italy           Belgium  1954           3   \n",
        "38       2       0           England       Switzerland  1954           2   \n",
        "39       4       1       Switzerland             Italy  1954           3   \n",
        "40       7       5           Austria       Switzerland  1954           2   \n",
        "41       4       2           Uruguay           England  1954           2   \n",
        "42       2       4            Brazil           Hungary  1954          -2   \n",
        "43       0       2        Yugoslavia           Germany  1954          -2   \n",
        "44       4       2           Hungary           Uruguay  1954           2   \n",
        "45       6       1           Germany           Austria  1954           5   \n",
        "46       1       3           Uruguay           Austria  1954          -2   \n",
        "47       2       3           Hungary           Germany  1954          -1   \n",
        "48       3       1           Germany         Argentina  1958           2   \n",
        "49       1       0  Northern Ireland    Czechoslovakia  1958           1   \n",
        "50       3       1         Argentina  Northern Ireland  1958           2   \n",
        "53       6       1    Czechoslovakia         Argentina  1958           5   \n",
        "54       2       1  Northern Ireland    Czechoslovakia  1958           1   \n",
        "55       7       3            France          Paraguay  1958           4   \n",
        "57       3       2        Yugoslavia            France  1958           1   \n",
        "58       3       2          Paraguay          Scotland  1958           1   \n",
        "59       2       1            France          Scotland  1958           1   \n",
        "61       3       0            Sweden            Mexico  1958           3   \n",
        "64       2       1            Sweden           Hungary  1958           1   \n",
        "66       4       0           Hungary            Mexico  1958           4   \n",
        "67       2       1             Wales           Hungary  1958           1   \n",
        "68       3       0            Brazil           Austria  1958           3   \n",
        "71       2       0            Russia           Austria  1958           2   \n",
        "73       2       0            Brazil            Russia  1958           2   \n",
        "74       1       0            Russia           England  1958           1   \n",
        "       ...     ...               ...               ...   ...         ...   \n",
        "\n",
        "    winner  matches_played  matches_won  years_played  podium_score  cups_won  \\\n",
        "0        1              89           63            16           102         5   \n",
        "1        1              34           14             8             2         0   \n",
        "3        1              34           14             8             2         0   \n",
        "4        1              89           63            16           102         5   \n",
        "5        1              24            7             7             0         0   \n",
        "6        1              59           26            13            18         1   \n",
        "7        1              53           27            12            18         1   \n",
        "8        1              53           27            12            18         1   \n",
        "9        1              25            5             7             0         0   \n",
        "10       1              53           27            12            18         1   \n",
        "11       1              26            7             7             4         0   \n",
        "12       1              41           14             9            16         0   \n",
        "14       1              71           36            15            54         2   \n",
        "15       1              43           14            10            22         1   \n",
        "17       1              89           63            16           102         5   \n",
        "18       1              89           63            16           102         5   \n",
        "19       1              43           14            10            22         1   \n",
        "20       1              41           14             9            16         0   \n",
        "21       1              43           14            10            22         1   \n",
        "22       1              89           63            16           102         5   \n",
        "23       1              34           14             8             2         0   \n",
        "25       1              48           23            10            34         1   \n",
        "26       1              98           59            15            94         3   \n",
        "27       1              26           11             7             8         0   \n",
        "28       1              26           11             7             8         0   \n",
        "29       1              10            5             2             4         0   \n",
        "30       1              98           59            15            94         3   \n",
        "31       1              43           14            10            22         1   \n",
        "32       1              25           10             6             4         0   \n",
        "33       1              43           14            10            22         1   \n",
        "34       1              25           10             6             4         0   \n",
        "35       1              24            7             7             0         0   \n",
        "37       1              71           36            15            54         2   \n",
        "38       1              59           26            13            18         1   \n",
        "39       1              24            7             7             0         0   \n",
        "40       1              25           10             6             4         0   \n",
        "41       1              43           14            10            22         1   \n",
        "42       2              89           63            16           102         5   \n",
        "43       2              34           14             8             2         0   \n",
        "44       1              26           11             7             8         0   \n",
        "45       1              98           59            15            94         3   \n",
        "46       2              43           14            10            22         1   \n",
        "47       2              26           11             7             8         0   \n",
        "48       1              98           59            15            94         3   \n",
        "49       1              13            3             3             0         0   \n",
        "50       1              64           33            13            40         2   \n",
        "53       1              23            7             6             8         0   \n",
        "54       1              13            3             3             0         0   \n",
        "55       1              48           23            10            34         1   \n",
        "57       1              34           14             8             2         0   \n",
        "58       1              25            6             7             0         0   \n",
        "59       1              48           23            10            34         1   \n",
        "61       1              41           14             9            16         0   \n",
        "64       1              41           14             9            16         0   \n",
        "66       1              26           11             7             8         0   \n",
        "67       1               5            1             1             0         0   \n",
        "68       1              89           63            16           102         5   \n",
        "71       1              37           17             9             2         0   \n",
        "73       1              89           63            16           102         5   \n",
        "74       1              37           17             9             2         0   \n",
        "       ...             ...          ...           ...           ...       ...   \n",
        "\n",
        "    matches_won_percent  podium_score_yearly  cups_won_yearly  \\\n",
        "0             70.786517             6.375000         0.312500   \n",
        "1             41.176471             0.250000         0.000000   \n",
        "3             41.176471             0.250000         0.000000   \n",
        "4             70.786517             6.375000         0.312500   \n",
        "5             29.166667             0.000000         0.000000   \n",
        "6             44.067797             1.384615         0.076923   \n",
        "7             50.943396             1.500000         0.083333   \n",
        "8             50.943396             1.500000         0.083333   \n",
        "9             20.000000             0.000000         0.000000   \n",
        "10            50.943396             1.500000         0.083333   \n",
        "11            26.923077             0.571429         0.000000   \n",
        "12            34.146341             1.777778         0.000000   \n",
        "14            50.704225             3.600000         0.133333   \n",
        "15            32.558140             2.200000         0.100000   \n",
        "17            70.786517             6.375000         0.312500   \n",
        "18            70.786517             6.375000         0.312500   \n",
        "19            32.558140             2.200000         0.100000   \n",
        "20            34.146341             1.777778         0.000000   \n",
        "21            32.558140             2.200000         0.100000   \n",
        "22            70.786517             6.375000         0.312500   \n",
        "23            41.176471             0.250000         0.000000   \n",
        "25            47.916667             3.400000         0.100000   \n",
        "26            60.204082             6.266667         0.200000   \n",
        "27            42.307692             1.142857         0.000000   \n",
        "28            42.307692             1.142857         0.000000   \n",
        "29            50.000000             2.000000         0.000000   \n",
        "30            60.204082             6.266667         0.200000   \n",
        "31            32.558140             2.200000         0.100000   \n",
        "32            40.000000             0.666667         0.000000   \n",
        "33            32.558140             2.200000         0.100000   \n",
        "34            40.000000             0.666667         0.000000   \n",
        "35            29.166667             0.000000         0.000000   \n",
        "37            50.704225             3.600000         0.133333   \n",
        "38            44.067797             1.384615         0.076923   \n",
        "39            29.166667             0.000000         0.000000   \n",
        "40            40.000000             0.666667         0.000000   \n",
        "41            32.558140             2.200000         0.100000   \n",
        "42            70.786517             6.375000         0.312500   \n",
        "43            41.176471             0.250000         0.000000   \n",
        "44            42.307692             1.142857         0.000000   \n",
        "45            60.204082             6.266667         0.200000   \n",
        "46            32.558140             2.200000         0.100000   \n",
        "47            42.307692             1.142857         0.000000   \n",
        "48            60.204082             6.266667         0.200000   \n",
        "49            23.076923             0.000000         0.000000   \n",
        "50            51.562500             3.076923         0.153846   \n",
        "53            30.434783             1.333333         0.000000   \n",
        "54            23.076923             0.000000         0.000000   \n",
        "55            47.916667             3.400000         0.100000   \n",
        "57            41.176471             0.250000         0.000000   \n",
        "58            24.000000             0.000000         0.000000   \n",
        "59            47.916667             3.400000         0.100000   \n",
        "61            34.146341             1.777778         0.000000   \n",
        "64            34.146341             1.777778         0.000000   \n",
        "66            42.307692             1.142857         0.000000   \n",
        "67            20.000000             0.000000         0.000000   \n",
        "68            70.786517             6.375000         0.312500   \n",
        "71            45.945946             0.222222         0.000000   \n",
        "73            70.786517             6.375000         0.312500   \n",
        "74            45.945946             0.222222         0.000000   \n",
        "                    ...                  ...              ...   \n",
        "\n",
        "    matches_played_2  matches_won_2  years_played_2  podium_score_2  \\\n",
        "0                 46             12              13               0   \n",
        "1                 24              7               7               0   \n",
        "3                 46             12              13               0   \n",
        "4                 34             14               8               2   \n",
        "5                 46             12              13               0   \n",
        "6                 26              7               7               4   \n",
        "7                 25              5               7               0   \n",
        "8                 26              7               7               4   \n",
        "9                 59             26              13              18   \n",
        "10                59             26              13              18   \n",
        "11                25              5               7               0   \n",
        "12                71             36              15              54   \n",
        "14                25              6               7               0   \n",
        "15                 4              0               2               0   \n",
        "17                41             14               9              16   \n",
        "18                53             27              12              18   \n",
        "19                41             14               9              16   \n",
        "20                53             27              12              18   \n",
        "21                89             63              16             102   \n",
        "22                46             12              13               0   \n",
        "23                48             23              10              34   \n",
        "25                46             12              13               0   \n",
        "26                10              5               2               4   \n",
        "27                28              5               8               2   \n",
        "28                98             59              15              94   \n",
        "29                28              5               8               2   \n",
        "30                10              5               2               4   \n",
        "31                23              7               6               8   \n",
        "32                23              4               8               0   \n",
        "33                23              4               8               0   \n",
        "34                23              7               6               8   \n",
        "35                71             36              15              54   \n",
        "37                32             10               8               2   \n",
        "38                24              7               7               0   \n",
        "39                71             36              15              54   \n",
        "40                24              7               7               0   \n",
        "41                59             26              13              18   \n",
        "42                26             11               7               8   \n",
        "43                98             59              15              94   \n",
        "44                43             14              10              22   \n",
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     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Are the results able to be classified? Can we see a pattern, some kind of grouping of results based on the stats of bot teams?\n",
      "\n",
      "Let's try visualizing two of the most interesting ones: matches won percent, and podium score yearly (mean)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "show(graph_matches_results_scatter(matches, 'matches_won_percent', 'matches_won_percent_2'))"
     ],
     "language": "python",
     "metadata": {},
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       "text": [
        "<IPython.core.display.SVG at 0x7ff43bb68dd0>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "show(graph_matches_results_scatter(matches, 'podium_score_yearly', 'podium_score_yearly_2'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
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       ],
       "text": [
        "<IPython.core.display.SVG at 0x7ff441c55110>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Before any conclussions: there is more there than what you can see with your eyes. At some location, there could be more than 1 point, and you only see the one on the top.\n",
      "\n",
      "The first graph tells us something that most people already expect: there is a small tendency on the result, the team with the better matches won percent tends to win. The second graph also shows a similar relation between podium score yearly and the result, even if it's not visible to the eye because of the overlapping of dots.\n",
      "\n",
      "But remember, the classifier can learn a lot more than just those simple relations based on the info we give to it. These graphs were just a screening to confirm some basic intuitions."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Learn\n",
      "-----\n",
      "\n",
      "Ok, now we have everything we need. Lets feed the selected input features to a the neural network classifier, and let it learn.\n",
      "\n",
      "We have to normalize the data, otherwise the features with smaller values will impose a greater weight on the prediction.\n",
      "\n",
      "Also, we use a percentage of the inputs to train, but keep the rest \"hidden\", we don't let the classifier see them while learning. After the training we use those inputs to \"test\" the ability of the classifier to predict data it has never seen before (and data we already know the correct answer)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "inputs, outputs = extract_samples(matches,\n",
      "                                  input_features,\n",
      "                                  output_feature)\n",
      "\n",
      "normalizer, inputs = normalize(inputs)\n",
      "\n",
      "train_inputs, train_outputs, test_inputs, test_outputs = split_samples(inputs, outputs)\n",
      "\n",
      "n = buildNetwork(len(input_features),\n",
      "                 10 * len(input_features),\n",
      "                 10 * len(input_features),\n",
      "                 1,\n",
      "                 outclass=SigmoidLayer,\n",
      "                 bias=True)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To be able to evaluate the results and show progress on the learning cycle, we need these two functions wich help us calculate how well the network can predict the results from the matches used to learn, and the matches it doesn't know."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def neural_result(input):\n",
      "    \"\"\"Call the neural network, and translates its output to a match result.\"\"\"\n",
      "    n_output = n.activate(input) \n",
      "    if n_output >= 0.5:\n",
      "        return 2\n",
      "    else:\n",
      "        return 1\n",
      "    \n",
      "def test_network():\n",
      "    \"\"\"Calculate train and test sets errors.\"\"\"\n",
      "    print (100 - percentError(map(neural_result, train_inputs), train_outputs), \n",
      "           100 - percentError(map(neural_result, test_inputs), test_outputs))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Create a train set (a kind of dataset that pybrain uses to train neural networks), and display initial accuracy on both sets (train and test)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "train_set = ClassificationDataSet(len(input_features))\n",
      "\n",
      "for i, input_line in enumerate(train_inputs):\n",
      "    train_set.addSample(train_inputs[i], [train_outputs[i] - 1])\n",
      "\n",
      "trainer = BackpropTrainer(n, dataset=train_set, momentum=0.5, weightdecay=0.0)\n",
      "\n",
      "train_set.assignClasses()\n",
      "\n",
      "test_network()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(50.78979343863912, 54.51263537906137)\n"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Train the network, for a given number of iterations. You can re-run this step many times, and it will keep learning, but as you know, if you train too much you can end overfitting the training data (this is visible when the test set accuracy starts to decrease)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for i in range(20):\n",
      "    trainer.train()\n",
      "    test_network()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(72.17496962332928, 77.9783393501805)\n",
        "(73.02551640340218, 75.09025270758123)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(73.63304981773997, 75.81227436823104)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(73.63304981773997, 75.45126353790613)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(73.87606318347508, 74.72924187725631)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.24058323207777, 74.0072202166065)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.36208991494533, 74.36823104693141)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(73.87606318347508, 76.17328519855596)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.48359659781288, 75.09025270758123)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(73.99756986634264, 75.45126353790613)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(73.2685297691373, 72.20216606498195)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.726609963548, 74.36823104693141)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.726609963548, 74.72924187725631)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.24058323207777, 75.81227436823104)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.60510328068044, 75.09025270758123)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.96962332928311, 74.72924187725631)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.726609963548, 75.09025270758123)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.24058323207777, 72.92418772563177)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.36208991494533, 74.72924187725631)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "(74.60510328068044, 76.17328519855596)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The closer this score is to 100%, the better the classifier is doing its predictions. A score of 100 means the classifier allways predicts the exact real result, something impossible.\n",
      "\n",
      "And something around 75% sounds impressive, but in fact is not **that** good. It's pretty good, but consider that just throwing a coin will get you 50%. So this sits in the middle between throwing a coin and having a time machine."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Predict\n",
      "-------\n",
      "\n",
      "With the classifier already trained, we can start making predictions. But we need a little function able to translate inputs like this: (2014, 'Argentina', 'Brazil'), to the numeric inputs the classifier expects (based on the input features).\n",
      "\n",
      "This function does the conversion, also normalizes the data with the same normalizer used before, and then just asks the classifier for the prediction."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def predict(year, team1, team2):\n",
      "    inputs = []\n",
      "    \n",
      "    for feature in input_features:\n",
      "        from_team_2 = '_2' in feature\n",
      "        feature = feature.replace('_2', '')\n",
      "        \n",
      "        if feature in team_stats.columns.values:\n",
      "            team = team2 if from_team_2 else team1\n",
      "            value = team_stats.loc[team, feature]\n",
      "        elif feature == 'year':\n",
      "            value = year\n",
      "        else:\n",
      "            raise ValueError(\"Don't know where to get feature: \" + feature)\n",
      "            \n",
      "        inputs.append(value)\n",
      "        \n",
      "    inputs = normalizer.transform(inputs)\n",
      "    result = neural_result(inputs)\n",
      "    \n",
      "    if result == 0:\n",
      "        return 'tie'\n",
      "    elif result == 1:\n",
      "        return team1\n",
      "    elif result == 2:\n",
      "        return team2\n",
      "    else:\n",
      "        return 'Unknown result: ' + str(result)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Some predictions about the past, compared to real results:\n",
      "----------------------------------------------------------\n",
      "\n",
      "Even while we know those results and some of them where used to train, that doesn't guarantee the real result is what the classifier will predict."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(1950, 'Mexico', 'Brazil')  # real result: 4-0 wins Brazil"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "'Brazil'"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(1990, 'United Arab Emirates', 'Colombia')  # real result: 2-0 wins Colombia\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "'Colombia'"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(2002, 'South Africa', 'Spain')  # real result: 2-3 wins Spain"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "'Spain'"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(2010, 'Japan', 'Cameroon')  # real result: 1-0 wins Japan"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "'Japan'"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Some predictions about the future:\n",
      "----------------------------------\n",
      "\n",
      "(at least these where \"future\" at the moment of programming)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(2014, 'Argentina', 'Brazil')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "'Argentina'"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(2014, 'Spain', 'Haiti')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "'Spain'"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(2014, 'Russia', 'Germany')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "'Germany'"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "predict(2014, 'Russia', 'Russia')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "'Russia'"
       ]
      }
     ],
     "prompt_number": 22
    }
   ],
   "metadata": {}
  }
 ]
}